Joint training method and device for service model

Abstract

The embodiment of the invention provides a joint training method and device for a service model, and the method and device enable the nonlinear complex operation to be distributed to a third party forprocessing in multi-party safety calculation, and greatly reduce the complexity of the joint training of a plurality of service parties for a nonlinear model. Meanwhile, each service party holding the feature data or the label data of the training sample generates a preset number of random numbers in an agreed random number generation mode, the sample data of the training samples in one-to-one correspondence in sequence is obtained, the consistency of the data is kept, and since the third party does not participate in the random number generation process, other service parties effectively guarantee data privacy for the third party. And other service parties interact with each other through a secret sharing method, so that data privacy is ensured among the service parties. In conclusion, according to the method, on the basis of privacy protection, the operation complexity of a nonlinear model jointly trained by a plurality of service parties is greatly reduced.

Description

technical field [0001] One or more embodiments of this specification relate to the field of computer technology, and in particular, to a method and device for training a business model by using a computer. Background technique [0002] In the era of big data, a lot of data may be scattered and stored in different enterprises. Based on privacy protection and other considerations, enterprises cannot fully share each other's data, so data islands may exist. [0003] In some cases, it is usually necessary to carry out cooperative security modeling between enterprises, so as to fully protect the privacy of enterprise data, use the data of all parties to carry out collaborative training on data processing models, so as to process business more accurately and effectively data. At this time, the data used for training the data processing model may be scattered among the parties involved in the cooperative modeling. Therefore, how to provide a more effective model training method b...

AI Technical Summary

Problems solved by technology

[0002] In the era of big data, a lot of data may be scattered and stored in different enterprises. Based on privacy protection and other considerations, enterprises cannot fully share each other's data, so there may be data islands

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